2020 International Conference on Applied Science and Technology (iCAST)最新文献_第4页

Implementation of Fuzzy-PI Controller for Constant Voltage Battery Charging System Using Zeta Converter 用Zeta变换器实现恒压电池充电系统的模糊pi控制器

2020 International Conference on Applied Science and Technology (iCAST) Pub Date : 2020-10-24 DOI: 10.1109/iCAST51016.2020.9557681

Sandra July Prananda, Epyk Sunarno, I. Ferdiansyah

引用次数: 0

Document Encryption Through Asymmetric RSA Cryptography 采用非对称RSA加密技术进行文档加密

2020 International Conference on Applied Science and Technology (iCAST) Pub Date : 2020-10-24 DOI: 10.1109/iCAST51016.2020.9557723

I. M. D. S. Atmaja, I. Astawa, N. Wisswani, I. Nugroho, P. Sunu, I. K. Wiratama

{"title":"Document Encryption Through Asymmetric RSA Cryptography","authors":"I. M. D. S. Atmaja, I. Astawa, N. Wisswani, I. Nugroho, P. Sunu, I. K. Wiratama","doi":"10.1109/iCAST51016.2020.9557723","DOIUrl":"https://doi.org/10.1109/iCAST51016.2020.9557723","url":null,"abstract":"With advances in technology like today, documents can be sent digitally via the internet media. An important problem faced in sending digital documents is that often documents sent can be accessed by parties who do not have the authority over these documents. The solution to this problem is to secure digital documents before transmission. One of the methods to secure data is cryptography. Cryptography with asymmetric keys is the strongest data security technique to use. One of the most widely used asymmetric cryptography is the RSA (Rivest-Shamir-Adleman) algorithm. The type of document that is encrypted is the most commonly attached document when sent e-mails. The document types are .docx, .pptx, .xlsx, .pdf, .jpg and .mp4. In the encryption process, a public key and a private key will be generated which can be sent separately by sending encrypted digital documents. The decryption process for digital documents is carried out from the receiving end of the document using a private key generated in the encryption process. The encryption result has a size larger than the original file size because it has been encoded in another form according to the RSA algorithm. The longer and bigger the input size, the longer it will take required for encryption.","PeriodicalId":334854,"journal":{"name":"2020 International Conference on Applied Science and Technology (iCAST)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125146108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Low Cost Wireless Sensor Network for Smart Gas Metering using Antares IoT Platform 基于Antares物联网平台的智能燃气计量低成本无线传感器网络

2020 International Conference on Applied Science and Technology (iCAST) Pub Date : 2020-10-24 DOI: 10.1109/iCAST51016.2020.9557692

Muhamad Cahyo Ardi Prabowo, S. S. Hidayat, F. Luthfi

{"title":"Low Cost Wireless Sensor Network for Smart Gas Metering using Antares IoT Platform","authors":"Muhamad Cahyo Ardi Prabowo, S. S. Hidayat, F. Luthfi","doi":"10.1109/iCAST51016.2020.9557692","DOIUrl":"https://doi.org/10.1109/iCAST51016.2020.9557692","url":null,"abstract":"The Internet of Things (IoT) takes internet advancement to the next level, making devices connected to each other with internet communication network technology and making new services part of the development of legacy services such as conventional measurement systems. Gas measuring instrument infrastructure consists data collection, distribution analysis and gas consumption. The development of digital technology in gas measuring instruments is needed to help the monitoring system run effectively and efficiently. In this paper, the Smart Gas Meter device is designed to use LoRa RFM95 hardware with a Class C type communication system to transmit the Uplink and Downlink connected to Antares. The LoRa Smart Gas Meter is designed to retrieve gas meter data, battery voltage data, read status and control the solenoid valve sent to the Antares Platform. Data from LoRa hardware will be managed and monitored in the Antares database. Antares is an IoT Platform that connects various electronic devices, sensors and applications in one system in a cloud network. So that each device is connected to each other and exchanges data in a unified IoT network.","PeriodicalId":334854,"journal":{"name":"2020 International Conference on Applied Science and Technology (iCAST)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123148035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

3D Asset for Web-based Virtual Engineering Platfrom as Implementation of Industry 4.0 基于web的虚拟工程平台的3D资产作为工业4.0的实现

2020 International Conference on Applied Science and Technology (iCAST) Pub Date : 2020-10-24 DOI: 10.1109/iCAST51016.2020.9557636

Erlangga Hendrika Putra Utama, D. Basuki, S. Sukaridhoto

{"title":"3D Asset for Web-based Virtual Engineering Platfrom as Implementation of Industry 4.0","authors":"Erlangga Hendrika Putra Utama, D. Basuki, S. Sukaridhoto","doi":"10.1109/iCAST51016.2020.9557636","DOIUrl":"https://doi.org/10.1109/iCAST51016.2020.9557636","url":null,"abstract":"The industrial revolution 4.0 has developed and become a trend by combining automation technology and cyber technology. The more industry 4.0 develops, the more developed the simulation modeling system needed in all scientific fields. The new concept that can bring simulation modeling to the digital realm is needed. Virtual Engineering is a new technological development concept in simulation modeling. 3D modeling using real-world objects is a form of Virtual Engineering. Manipulating a 3D model requires an asset and a system to integrate assets into the virtual world. However, currently there is no system that can integrate assets automatically with the cyberspace. In this research, asset development is made to assist users in providing and managing assets and integrating assets automatically into the virtual world. The system has three parts, namely an asset development application, an application to provide assets through 3D scanning, a turntable system to help users perform scanning, and a 3D library system to manage assets and integrate them into the Virtual Engineering platform. Based on the test result, it was found that 3D scanning with a turntable required the fastest time that could be obtained by 34 seconds for an object weighing 500 grams. The optimal distance for the camera to scan an object is 28 cm. The 3D Library system uses the MongoDB database to integrate assets into the Virtual Engineering platform, and the system has been successfully connected to the Virtual Engineering platform.","PeriodicalId":334854,"journal":{"name":"2020 International Conference on Applied Science and Technology (iCAST)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126861702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Covid-19 Detection with Contactless Method based on Deep Learning 基于深度学习的新型冠状病毒非接触检测方法

2020 International Conference on Applied Science and Technology (iCAST) Pub Date : 2020-10-24 DOI: 10.1109/iCAST51016.2020.9557633

Ismail, Fibriyanti, Zas Ressy Aidha, Menhendry, K. Hawari

{"title":"The Covid-19 Detection with Contactless Method based on Deep Learning","authors":"Ismail, Fibriyanti, Zas Ressy Aidha, Menhendry, K. Hawari","doi":"10.1109/iCAST51016.2020.9557633","DOIUrl":"https://doi.org/10.1109/iCAST51016.2020.9557633","url":null,"abstract":"The spread of corona virus diseases among medical workers is a big problem in this pandemic corona virus. The are many medical workers suffer and some of them died. The infected medical workers of corona virus are caused through directed or closed contacts between infected patients and medical workers. The closed and directed contact in medical services take place especially in diagnostic process. In order to handle this problem, the proposed method prevents the closed or directed contacts of medical workers to the suspected patients. The method uses RMI images or chest X-ray images data to predict the infected suspects. The proposed method is detecting the infected lung X-Ray image through Deep Learning model. It uses pre-trained model of GoogleNet, with modification. The Confusion Matrix and ROC curve are used to measure accuracy the predicted. They show that proposed method has high accuracy. Finally, the proposed method is able to replace closed or directed contact diagnostic done by medical workers to Covid-19 suspects. It has ability to handle the spread of Covid-19 among medical workers.","PeriodicalId":334854,"journal":{"name":"2020 International Conference on Applied Science and Technology (iCAST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132372850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Face Detection Model for Thermal Images 热图像的人脸检测模型

2020 International Conference on Applied Science and Technology (iCAST) Pub Date : 2020-10-24 DOI: 10.1109/iCAST51016.2020.9557718

Hendrick, Surfa Yondri, Rahmat Hidayat, A. Albar, Hanifa Fitri, Ivan Finiel Bagariang

{"title":"Face Detection Model for Thermal Images","authors":"Hendrick, Surfa Yondri, Rahmat Hidayat, A. Albar, Hanifa Fitri, Ivan Finiel Bagariang","doi":"10.1109/iCAST51016.2020.9557718","DOIUrl":"https://doi.org/10.1109/iCAST51016.2020.9557718","url":null,"abstract":"Face detection is one of hot issue in image processing combined with Deep Learning methods. The application have influenced in many area such as security, and medical. Mostly face detection only applied in RGB images to locate the face area and continued with face recognition. Thermal camera function is not only to capture the thermal images, but it also applied in security system avoiding the spoofing faces. Nowadays, the temperature measurement is important to do but without any contact with the subject. In this research, we proposed a method to create a face model based on the thermal images. This model will apply in the multi object temperature measurement as real time measurement. YOLO is one of the Deep Learning methods which have best performance in object detection. The main YOLO architecture was formed by Convolutional Neural Network. The YOLO method was applied to create the face model with some modification from previous YOLO architectures. The dataset was built from direct measurement combined with online dataset. FLIR Lepton thermal 3.5 camera was applied in this research to capture subject. The dataset size was extended by using data augmentation to prevent over-fitting during training. By using 1600 images, the face model was successfully created with the average accuracy around 72.7%.","PeriodicalId":334854,"journal":{"name":"2020 International Conference on Applied Science and Technology (iCAST)","volume":"119 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133684908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effect of Turbine Inclination to the Performance of Micro Hydro Power Generator Screw Archimedes 水轮机倾角对微型水力发电机螺杆性能的影响

2020 International Conference on Applied Science and Technology (iCAST) Pub Date : 2020-10-24 DOI: 10.1109/iCAST51016.2020.9557632

K. Bangse, I. Wiryanta

引用次数: 0

Disaster Robot Navigation using Behavior-based Systems 基于行为系统的灾难机器人导航

2020 International Conference on Applied Science and Technology (iCAST) Pub Date : 2020-10-24 DOI: 10.1109/iCAST51016.2020.9557734

S. Kuswadi, Mohamad Nasyir Tamara, Bagoes Taufiq Brahmantio, Debynata Sugiharto, M. Nuh

引用次数: 1

Design and Development of Multiple Mobile Manipulator Robots using Gazebo-ROS 基于Gazebo-ROS的多移动机械手的设计与开发

2020 International Conference on Applied Science and Technology (iCAST) Pub Date : 2020-10-24 DOI: 10.1109/iCAST51016.2020.9557660

P. Anggraeni, I. Rokhim, R. Salam

引用次数: 6

Developing Monitoring System based Internet of Things for Vibration Analysis 开发基于物联网的振动分析监测系统

2020 International Conference on Applied Science and Technology (iCAST) Pub Date : 2020-10-24 DOI: 10.1109/iCAST51016.2020.9557696

M. A. Al Rasyid, A. Rifa’i, A. Ahsan

{"title":"Developing Monitoring System based Internet of Things for Vibration Analysis","authors":"M. A. Al Rasyid, A. Rifa’i, A. Ahsan","doi":"10.1109/iCAST51016.2020.9557696","DOIUrl":"https://doi.org/10.1109/iCAST51016.2020.9557696","url":null,"abstract":"Machine maintenance in an industry is an activity that must be carried out to prevent severe damage to the machine and prevent unscheduled downtime. The usual activity performed by a machine technician is to verify the condition of the machine direction and then record it in the records of maintenance activities. The activity has many gaps and risks such as there are measurement data that do not have the same sampling. There is data that is lost because measurements are not carried out at any time and even more health risks for the maintenance technician itself due to exposure to vibration directly every day. This study proposes a monitoring system based Internet of Things to detect machine damage based on vibration analysis. Vibration analysis has been done by using the ADXL335 accelerometer sensor, which is connected to a microcontroller and Raspberry Pi Therefore becomes a vibration sensor module that can send the data to the cloud server using MQTT protocol. Every maintenance technician can observe the condition of the machine and receive an early warning of machine damage through the website interface and mobile application.","PeriodicalId":334854,"journal":{"name":"2020 International Conference on Applied Science and Technology (iCAST)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128933219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0